2629 Data Acquisition Engineer Night Shift jobs in Melville,NY

Bachelor's degree required.
5–10 years of experience in manufacturing maintenance or equivalent training.
Background in general maintenance of manufacturing machines and process equipment (automated systems, chillers, air compressors, hydraulics, pneumatics).
Proficiency with hand and power tools.
Basic knowledge of electrical systems (DC and AC, 24V–480V).
Ability to read, interpret, and modify electrical schematics and prints.
Experience with ladder logic, PLCs, VFDs, and instrumentation/control devices.
Familiarity with gas/oil heating systems, air handlers, condensers, and evaporators.
Promote and enforce a safety-first culture on the production floor.
Knowledge of Lockout/Tagout, Arc Flash, Machine Guarding, HazCom, DOT, RCRA, and material handling.
Strong problem-solving, analytical, and decision-making skills.
Ability to manage multiple priorities in a fast-paced environment.
Demonstrated success leading, motivating, and coaching diverse teams.
Excellent written and verbal communication; able to interact effectively at all levels.
Ability to lift 50 lbs.
Active role requiring standing, walking, bending, kneeling, stooping, crouching, crawling, and climbing throughout the day.
Fine manipulation and repetitive motion may be required for some tasks.

Sr PM II - Acquisition, Experimentation, Subscription & Monetization

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

Group 1 Automotive

Rockville Centre, NY 11570

Nassau Candy Distributors

Hicksville, NY 11801

LHH US

New York, NY 10022

Bachelor's degree in Computer Science, Engineering, or a related field.
5-8 years of professional software engineering experience.
Proven track record of hands on development in enterprise scale systems, preferably in HR.
Strong proficiency in at least one core programming language (Python or Java).
Deep experience with relational databases, NoSQL stores, and complex query design.
Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.